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Record W2106115330 · doi:10.1634/stemcells.19-6-477

Stem Cells from the Mammalian Blastocyst

2001· review· en· W2106115330 on OpenAlexaff
Janet Rossant

Bibliographic record

VenueStem Cells · 2001
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPluripotent Stem Cells Research
Canadian institutionsMount Sinai Hospital
Fundersnot available
KeywordsBiologyInner cell massStem cellCell biologyEmbryonic stem cellBlastocystTrophoblastInduced pluripotent stem cellCellular differentiationCell potencyEmbryoGeneticsEmbryogenesisPlacentaFetusGene

Abstract

fetched live from OpenAlex

Early differentiation of the mammalian embryo leads to the development of two distinct lineages-the inner cell mass (ICM) and the trophectoderm. Cells of the ICM are pluripotent and give rise to all tissues of the fetus, while trophectoderm cells are restricted in their potential to the trophoblast cell layers of the placenta. In the mouse, apparently immortal stem cell lines can be obtained from both cell types. These cell lines, embryonic stem (ES) cells and trophoblast stem (TS) cells, are morphologically and molecularly distinct and depend on different signaling pathways for their maintenance. They also show different cell fates when introduced into early embryos to generate chimeras. However, a change in the levels of expression of a key regulator of pluripotency, Oct4, can push ES cells towards the TS phenotype, when grown in TS cell conditions. Stem cell potential in the early embryo thus appears to depend on a combination of the levels of expression of key intrinsic regulators and the appropriate extrinsic environmental factors. Manipulation of both intrinsic and extrinsic regulators may be needed to reveal the full potential of stem cells from other stages of development and the adult.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.008

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.039
GPT teacher head0.295
Teacher spread0.256 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations264
Published2001
Admission routes1
Has abstractyes

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